Triple

T33189483
Position Surface form Disambiguated ID Type / Status
Subject 6ter E849563 entity
Predicate digitalTerrestrialChannelNumber P46398 FINISHED
Object 22 LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 22 | Statement: [6ter, digitalTerrestrialChannelNumber, 22]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: digitalTerrestrialChannelNumber
Context triple: [6ter, digitalTerrestrialChannelNumber, 22]
  • A. channelNumber chosen
    Indicates the specific numeric identifier assigned to a channel within a system or medium.
  • B. hdChannel
    Indicates that a media service or content stream is provided in high-definition (HD) format.
  • C. formerChannelNumber
    Indicates that an entity was previously assigned or used a particular channel number before a change to its current channel designation.
  • D. terrestrialChannel
    Indicates that the relationship involves transmission or distribution via land-based (terrestrial) communication channels rather than satellite or other mediums.
  • E. fictionalChannelNumber
    Indicates that a channel is assigned a number that does not correspond to a real, physically existing broadcast or transmission channel.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3495e0f108190a6a7006f79f9c2c3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6dd3cc0648190a275812d6711275a completed May 3, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69f6d82eaee081908f06a71546315aea completed May 3, 2026, 5:07 a.m.
Created at: May 1, 2026, 1:29 a.m.